Immuta vs erwin Data Intelligence comparison

Quest Software and Immuta are both solutions in the Data Governance category. Quest Software is ranked #18 with an average rating of 8.0, while Immuta is ranked #22 with an average rating of 8.0. Quest Software holds a 2.0% mindshare in DG, compared to Immuta’s 2.3% mindshare. Additionally, 100% of Quest Software users are willing to recommend the solution, compared to 100% of Immuta users who would recommend it.

erwin Data Intelligence

Read 20 erwin Data Intelligence reviews

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3,304 Comparison Views

100% willing to recommend

Immuta

Read 5 Immuta reviews

2,413 Views
1,641 Comparison Views

100% willing to recommend

erwin Data Intelligence

Immuta

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 1, 2026

Erwin Data Intelligence and Immuta are competing in the data governance and privacy sector, with Immuta having the upper hand due to its advanced data privacy and security features.

Features: Erwin Data Intelligence offers robust metadata management, data lineage tracking, and excellent integration capabilities that enable seamless connection with various systems. Immuta provides dynamic data masking, fine-grained access controls, and automated policy enforcement, prioritizing data security and compliance. Its advanced privacy controls make it a leader in mitigating data risk.

Room for Improvement: Erwin Data Intelligence could benefit from enhancing its data privacy controls and automating more policy enforcement features. It may also gain from simplifying its metadata management interface. Immuta could improve by offering easier integration with legacy systems, enhancing user interface intuitiveness, and reducing deployment complexity to better serve a diverse clientele.

Ease of Deployment and Customer Service: Erwin Data Intelligence is praised for its straightforward deployment model that integrates effortlessly into existing environments. Immuta’s deployment is more complex due to its rich feature set, but it offers comprehensive support and guidance to facilitate implementation, boosting overall confidence during deployment.

Pricing and ROI: Erwin Data Intelligence is generally more affordable, offering a strong return on investment through lower setup costs and efficient integration. Immuta, while more expensive, justifies its cost with significant ROI from its advanced data security features and rigorous data handling capabilities, providing substantial value for investment.

To learn more, read our detailed Immuta vs. erwin Data Intelligence Report (Updated: April 2026).

Buyer's Guide

Immuta vs. erwin Data Intelligence

April 2026

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Helped 894,738 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

erwin Data Intelligence

Ranking in Data Governance

18th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Governance (3rd)

Immuta

Ranking in Data Governance

22nd

Average Rating

7.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

Data Security Posture Management (DSPM) (15th), AI Data Analysis (20th)

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of erwin Data Intelligence is 2.0%, up from 2.0% compared to the previous year. The mindshare of Immuta is 2.3%, up from 1.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
erwin Data Intelligence	2.0%
Immuta	2.3%
Other	95.7%

Data Governance

Featured Reviews

Jog Raj

Senior Consultant at a computer software company with 11-50 employees

Automated lineage and business glossaries have improved data understanding and collaboration

I am open to answering a few questions about erwin Data Intelligence and sharing my opinion about the product. Regarding the analytic part of the product, I find it very interesting that erwin Data Intelligence has its own inbuilt reporting toolset, with a new version coming out in January that will be AI-powered. This means you will be able to write analytical reports and questions based on the metadata and data lineage, making it more powerful than the current version, as AI will assist in creating those reports and performing analysis on the metadata. I find that the time taken to realize value from erwin Data Intelligence can be quite long. Creating a data catalog and developing data lineage takes significant time, and I expect that AI will help accelerate the process of creating data products by streamlining the steps involved. I can recommend erwin Data Intelligence to other users. I would rate this review as an eight out of ten overall.

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Dibyajyoti Rath

Data Analyst at a consultancy with 10,001+ employees

Centralized access control has secured sensitive data and supports compliant self-service analytics

Immuta is very helpful, but it can be improved in a few areas. The initial setup and policy design can be complex and require a learning curve. The user interface could be more interactive, especially for non-technical users. Policy troubleshooting and debugging could be easier with better visibility into why access was allowed or denied. Performance optimization and deeper integration with more tools could make it even better. Additional improvements would strengthen Immuta further. The documentation and real-world examples would help teams onboard faster. More out-of-the-box policy templates could reduce setup time. Improved policy simulation and testing would help teams understand the impact of changes before applying them. Stronger alerting and monitoring features would help quickly identify access issues. Finally, more end-user training and simplified workflows would make it easier for business users to adopt.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"Data Intelligence has provided more profound insights into legacy data movements, lineages, and definitions in the short term."

"If I use a traditional ETL tool and build it through an IT port, it would take five days to build very simple data mapping to get it to the deployment phase, whereas using this solution, the IT cost will be cut down to less than a day."

"The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good."

"We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation."

"The data management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company."

"The client is thrilled with higher quality, lower-cost products, and the services."

"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."

"This type of solution was key to moving our entire company in the right direction by getting everyone to think about data governance."

More erwin Data Intelligence pros

"What I appreciate the most is its user-friendliness."

"Instead of manually tagging data, Immuta’s auto-discovery capability identifies sensitive information, such as country labels, gender information, and other personal data."

"All features available are good."

"The tool's most valuable feature is restriction."

"Immuta has had a very positive impact on our organization, helping us strengthen data security by ensuring sensitive data is only accessible to the right users, simplifying compliance with clear audit trails and consistent policy enforcement, reducing manual access management to save time for data and security teams, and enabling safe self-service analytics so our team can access data faster while still meeting governance and regulatory requirements."

Cons

"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."

"The SDK behind this entire product needs improvement. We were finding some inconsistencies on the LDK level; everything worked fine from the UI perspective, but when we started doing some deep automation scripts going through multiple API calls inside the tool, then only some pieces of it work or it would not return the exact data it was supposed to do."

"Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things."

"One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."

"The fact that I sometimes have to go in and out of different applications, even though it's all part of the whole erwin suite, perhaps means it could be architected a little bit better. I think they do have some ideas for improvements there."

"There is room for improvement in automation, no question."

"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."

"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive. They have made some good progress. Originally, when we started, we were on version 9 or 10. Over the last couple of releases, I've seen some improvements that they have made, but there might be a few other additional areas in UI where they can make some enhancements."

More erwin Data Intelligence cons

"The implementation process with Immuta was quite challenging, primarily due to issues related to database handling and the syncing of user groups."

"Immuta is very helpful, but it can be improved in a few areas."

"We have had some challenges with their support when we were migrating to the cloud version. We we had some issues, and it took us several attempts to get a proper responses as part of that migration."

"There is room for improvement in enhancing the monitoring capabilities."

"Immuta is behind in updating upgrades and software releases."

Pricing and Cost Advice

"The price is too high."

"The price is reasonable and competitive. When you get into forward and reverse-engineering, the cost could go up. However, if you are a large organization, you would probably be able to access different packages. If, however, you don't need forward and reverse-engineering, then the price is relatively cheap."

"erwin's pricing was cheaper than its competitors."

"The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000."

"There is an additional fee for the server maintenance."

"Smart Data Connectors have some costs, and then there are user-based licenses. We spend roughly $150,000 per year on the solution. It is a yearly subscription license that basically includes the cost for Smart Data Connectors and user-based licenses. We have around 30 data stewards who maintain definitions, and then we have five IT users who basically maintain the overall solution. It is not a SaaS kind of operation, and there is an infrastructure cost to host this solution, which is our regular AWS hosting cost."

"The licensing cost is around $7,000 for user. This is an estimation."

"You buy a seat license for your portal. We have 100 seats for the portal, then you buy just the development licenses for the people who are going to put the data in."

More erwin Data Intelligence pricing and cost advice

"Immuta's pricing is expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Government

10%

Manufacturing Company

Retailer

Financial Services Firm

19%

Computer Software Company

Construction Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	4
Large Enterprise	15

No data available

Questions from the Community

What needs improvement with erwin Data Intelligence by Quest?

In my opinion, the analytics part of erwin Data Intelligence is not satisfactory. The name 'Intelligence' is not related specifically to analytics; it is focused on data governance with no advanced...

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What is your primary use case for erwin Data Intelligence by Quest?

My main use case for erwin Data Intelligence is applying it and the DQ Labs in a financial institution.

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What advice do you have for others considering erwin Data Intelligence by Quest?

The integration of business glossaries has significantly helped improve collaboration in our organization. We define the business glossaries first during meetings with the business, and then we bul...

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What needs improvement with Immuta?

See all answers

What is your primary use case for Immuta?

My main use case for Immuta is data governance. In my project, which is a data governance project, I use Immuta as a centralized data access management tool. A specific example of how I use Immuta ...

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What advice do you have for others considering Immuta?

My advice for others considering Immuta would be to plan your policies carefully. Think through roles, data sensitivity, and use cases before setup. Invest in training to ensure both technical and ...

See all answers

Comparisons

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Compared 20% of the time

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Compared 10% of the time

Alation Data Catalog vs erwin Data Intelligence

Compared 8% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs erwin Data Intelligence

Compared 7% of the time

Microsoft Purview Data Lifecycle Management vs erwin Data Intelligence

Compared 6% of the time

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Compared 17% of the time

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Compared 10% of the time

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Compared 9% of the time

Protegrity’s Data Protection Platform vs Immuta

Compared 7% of the time

BigID Next vs Immuta

Compared 7% of the time

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Product Reports

Buyer's Guide

erwin Data Intelligence

May 2026

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Buyer's Guide

Data Governance

April 2026

Download Immuta product report

Also Known As

erwin DG, erwin Data Governance

No data available

Overview

Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.

Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.

What are the main features of Erwin Data Intelligence?

Automation Scripts: Speeds up development processes through powerful scripts.
Data Catalog: Supports comprehensive data mapping and profiles for better analysis.
Smart Data Connectors: Efficiently handles code engineering and metadata harvesting.
Customization Flexibility: Adapts to existing infrastructure for seamless integration.
Comprehensive Visualization: Empowers data visualization and standardization processes.

What benefits and ROI can users expect?

Increased Development Speed: Automation scripts notably enhance development efficiency.
Improved Data Governance: Streamlines processes, supporting compliance and business definitions.
Effective Integration: Seamlessly fits with ETL tools and existing workflows.
Enhanced Data Literacy: Supports data literacy initiatives with robust cataloging features.
Comprehensive Impact Analysis: Facilitates thorough analysis for informed decision-making.

In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.

Quest Software

Immuta ensures secure, controlled access to sensitive data, excelling in data governance, regulatory compliance, and privacy. Key features include dynamic policy enforcement, fine-grained access control, and seamless integration with diverse data sources. Users report improved operational efficiency and enhanced teamwork.

Immuta

Sample Customers

Oracle, Infosys, GSK, Toyota Motor Sales, HSBC

Information Not Available

Buyer's Guide

Immuta vs. erwin Data Intelligence

April 2026

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